Triple
T21398826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salome, Where She Danced |
E527857
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Michael Fessier |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Michael Fessier | Statement: [Salome, Where She Danced, storyBy, Michael Fessier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Fessier Context triple: [Salome, Where She Danced, storyBy, Michael Fessier]
-
A.
Michael Fessier
chosen
Michael Fessier was an American screenwriter and author known for his work on Hollywood films in the 1930s and 1940s, often contributing to romantic comedies and musicals.
-
B.
Michael Ferris
Michael Ferris is a cinematographer known for his work on the film "Point of No Return."
-
C.
Michael Ferris
Michael Ferris is an American screenwriter best known for co-writing major studio films such as "Terminator Salvation" and "The Net."
-
D.
Michael LeSieur
Michael LeSieur is an American screenwriter known for his work on comedy films, including co-writing the 2018 animated adaptation of Dr. Seuss's "The Grinch."
-
E.
Patrick Fischler
Patrick Fischler is an American character actor known for his memorable supporting roles in film and television, including appearances in projects like Mulholland Drive, Mad Men, and Lost.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:14 p.m.